MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017

Description

  • Design, develop, deploy, and maintain an enterprise-wide Agentic AI Developer Platform.
  • Implement and operate platform components, integrations, frameworks, and supporting infrastructure for scalable agentic AI solutions.
  • Collaborate with architects and technical stakeholders to turn platform designs into production-ready implementations.
  • Manage deployment automation, monitoring, troubleshooting, performance optimization, and operational support for the platform.
  • Evaluate, integrate, and customize AI platforms, orchestration tools, frameworks, and cloud-native services.
  • Create reusable abstractions, components, and development standards that improve consistency and speed up agent development.
  • Provide technical guidance and mentorship to junior and mid-level engineers.
  • Work autonomously on complex technical initiatives and own implementation, delivery, and operational excellence.
  • Partner with cross-functional teams to understand business requirements and improve platform scalability and developer productivity.
  • Contribute to documentation, operational procedures, and governance practices to support maintainability and adoption.

Requirements

  • 4+ years of experience in DevOps, Platform Engineering, SRE, Backend Engineering, or a similar infrastructure-focused role.
  • Strong hands-on experience with Kubernetes, including cluster administration, networking, deployments, and operational support.
  • Experience with Terraform and Infrastructure as Code (IaC) practices.
  • Experience designing, implementing, and maintaining CI/CD pipelines and deployment automation frameworks.
  • Solid understanding of Linux administration, containerization technologies, container registries, IAM, and RBAC concepts.
  • Knowledge of monitoring, observability, logging, and troubleshooting in Kubernetes environments.
  • Understanding of cloud-native architectures, platform operations, and production infrastructure best practices.
  • 1–2+ years of experience developing or maintaining solutions based on LLMs and AI agents.
  • Experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
  • Knowledge of prompt engineering, evaluation, and monitoring of GenAI applications.
  • Familiarity with observability tools such as LangSmith, LangFuse, or similar platforms.
  • Experience integrating AI agents with APIs, databases, and external tools.
  • Strong programming skills in Python.
  • Experience building, testing, and deploying AI-powered applications in production environments.
  • Understanding of RAG architectures and vector databases is a plus.
  • Experience working with cloud platforms such as AWS, GCP, or Azure is desirable.

Benefits

  • Remote-first culture with the ability to work from anywhere.
  • In-company English lessons.
  • Wellhub or sports club stipend.
  • Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
  • Food credits via Pedidos Ya.
  • Birthday off plus an extra vacation week.
  • Referral bonuses.
  • Annual team trip.

Interested in this position?

Apply directly on the company website

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